mirror of
https://github.com/Brandon-Rozek/website.git
synced 2024-11-22 16:26:28 -05:00
35 lines
2 KiB
Markdown
35 lines
2 KiB
Markdown
|
---
|
||
|
|
title: "A Framework for Testimony-Infused Automated Adjudicative Dynamic
|
||
|
|
Multi-Agent Reasoning in Ethically Charged Scenarios"
|
||
|
|
authors: [
|
||
|
|
"Brandon Rozek",
|
||
|
|
"Michael Giancola",
|
||
|
|
"Selmer Bringsjord",
|
||
|
|
"Naveen Sundar Govindarajulu"
|
||
|
|
]
|
||
|
|
publish_date: "2022/07"
|
||
|
|
conference: "International Conference on Robot Ethics and Standards"
|
||
|
|
isbn: "978-1-7396142-0-1"
|
||
|
|
doi: "10.13180/icres.2022.18-19.07.009"
|
||
|
|
firstpage: 47
|
||
|
|
lastpage: 66
|
||
|
|
language: "English"
|
||
|
|
pdf_url: "https://www.clawar.org/icres2022/wp-content/uploads/2022/07/ICRES2022-Proceedings-manuscript.pdf#page=61"
|
||
|
|
abstract: "In “high stakes” multi-agent decision-making under uncertainty, testimonial evidence flows from
|
||
|
|
“witness” agents to “adjudicator” agents, where the latter must rationally fix belief and knowl-
|
||
|
|
edge, and act accordingly. The testimonies provided may be incomplete or even deceptive, and
|
||
|
|
in many domains are offered in a context that includes other kinds of evidence, some of which
|
||
|
|
may be incompatible with these testimonies. Therefore, before believing a testimony and on that
|
||
|
|
basis moving forward, the adjudicator must systematically reason to suitable strength of belief, in
|
||
|
|
a manner that takes account of said context, and globally judges the core issue at hand. To fur-
|
||
|
|
ther complicate matters, since the relevant information perceived by the adjudicator changes over
|
||
|
|
time, adjudication is a nonmonontonic/defeasible affair: adjudicators must dynamically strengthen,
|
||
|
|
weaken, defeat, and reinstate belief and knowledge. Toward the engineering of artificial agents ca-
|
||
|
|
pable of handling these representation-and-reasoning demands arising from testimonial evidence
|
||
|
|
in multi-agent decision-making, we explore herein extensions to one of our prior cognitive calculi:
|
||
|
|
the Inductive Cognitive Event Calculus (IDCEC). We ground these extensions in a recent, tragic
|
||
|
|
drone-strike scenario that unfolded in Kabul, Afghanistan, in the hope that use by humans of our
|
||
|
|
brand of logic-based AI in future such scenarios will save human lives."
|
||
|
|
---
|
||
|
|
|